Pharma R&D Today

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Finding the Corpus of Knowledge for Machine Learning/AI In Chemistry

Posted on January 14th, 2020 by

Machine learning for predicting chemistry is an area of intense research and publication. However, since the terminology used to describe this activity is diverse it can be difficult to identify all of the publications describing use of computers to predict chemical outcomes or retrosynthesis paths.

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New studies question what we thought we knew about aspirin

Posted on December 17th, 2019 by

For decades, aspirin (acetylsalicylic acid) has been viewed as something of a wonder drug. A staple in most households, people have turned to it for everything from headache relief to heart attack prevention. However, recent studies have raised some serious questions about the benefits of regular aspirin usage.

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Help data sets along on their journey to meaningful insights

Posted on September 25th, 2018 by

Applying data sets to solve complex problems can be a challenging task, and Elsevier seeks talented individuals in data science and other fields to join us in our mission to lead the way in advancing science, technology and health. (more…)

Embracing the new in cheminformatics

Posted on August 17th, 2018 by

Two centuries of innovation in chemistry research methods

The true mark of an innovation is its impact on our behavior. All the great innovations of history, big and small, have changed how people have approached tasks in their personal and professional lives. As we celebrate 30 years of the chemistry research solution Reaxys, (more…)

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